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Record W2089900516 · doi:10.1520/gtj12682

Experimental Study of Sand Production from a Supported Wellbore in Weakly Consolidated Sandstone

2005· article· en· W2089900516 on OpenAlexaff
Alireza Nouri, Hans Vaziri, Hadi Belhaj, N Shomakhi, Stephen Butt, Adam Donald, Md. Rafiqul Islam

Bibliographic record

VenueGeotechnical Testing Journal · 2005
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsDalhousie UniversityUniversity of Alberta
Fundersnot available
KeywordsWellboreGeotechnical engineeringGeologyGrain sizeShear (geology)Petroleum engineeringPetrology

Abstract

fetched live from OpenAlex

Abstract Deployment of expandable technology for sand control is experiencing rapid growth. While several expandable systems have been developed, assessment of their long-term performance and effectiveness has not. To alleviate some concerns and uncertainties, criteria are provided in this paper for assessing the possibility of sanding in wellbores that employ reticulated expandable completions and to illustrate an in-depth understanding of the mechanism under which such screens may prevent sand grain mobilization. To investigate these issues, a series of experiments were conducted using hollow cylinder synthetic sandstone samples involving both fine- and coarse-grained sands. A stiffener of two different opening sizes supported the central hole to check if sanding takes place and if so, how great the influence of the opening size relative to the grain size is in dictating the operational limits. The experiments on weakly-consolidated sandstones showed that expandable completions were successful in preventing any shear failure around the wellbore. Under excessive drawdown/depletion, volumetric failure (pore collapse) proved to be a plausible failure mechanism in the material. Nevertheless, much less sanding occurred, and this improvement was attributed to grain-to-grain friction, enhancements of effective stresses at the wellface, and some degree of conservation of the original structure of the material, although at the state of pore collapse.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.141
Threshold uncertainty score0.669

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.247
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2005
Admission routes1
Has abstractyes

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